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‑Health Research Centre (AEHRC) is CSIRO’s national digital health research program, bringing together world‑class research, innovation, and partnerships to support better healthcare outcomes
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, Computer Science, Information Technology, or a related experience. A current NetApp certification (e.g., NCDA) is highly desirable, reflecting demonstrated expertise in enterprise storage systems
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– you don't have to be a STEM student to apply! The opportunities we are offering The Next Generation Graduates Program is a cohort-based, industry driven, multi-disciplinary graduate training program
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-scale storage, cloud services, data centres, computing and high-performance research environments. Working closely with IMT leaders and program heads, you’ll ensure infrastructure aligns with
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and verbal communications skills which ensure stakeholders are accurately advised in order to make informed decisions. Knowledge and experience in SAP and associated addon’s such as SAP Analytics Cloud
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, Information Technology, Computer Science, or a related discipline. Foundational understanding of cybersecurity principles, including risk, identity, and network security. Analytical and problem-solving ability with
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International Program (ACDP-IP) partners with multiple organisations across the Asia-Pacific to build laboratory capacity, improve the quality of laboratory diagnostic services, and laboratory biosafety and
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Build software that supports CSIRO’s leading research Work in an agile, innovative, and autonomous team Collaborate with experts across tech and science The Data Management and Applications (DMA) team, part of CSIRO’s Information Management and Technology (IMT) group, develops software solutions...
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Diagnostics, Surveillance & Response Program About CSIRO As Australia's national science agency, CSIRO is solving the greatest challenges through innovative science and technology. Many of our iconic
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: Curating responsibilities including identifying, sorting, and mounting specimens. Using computer skills to transfer information from insect specimens into morphological data matrices. Supporting research